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Knowledge graphs (KG) are used in a wide range of applications. Theautomation of KG generation is very desired due to the data volume and varietyin industries. One important approach of KG generation is to map the raw datato a given KG schema, namely a domain ontology, and construct the entities andproperties according to the ontology. However, the automatic generation of suchontology is demanding and existing solutions are often not satisfactory. Animportant challenge is a trade-off between two principles of ontologyengineering: knowledge-orientation and data-orientation. The former oneprescribes that an ontology should model the general knowledge of a domain,while the latter one emphasises on reflecting the data specificities to ensuregood usability. We address this challenge by our method of ontology reshaping,which automates the process of converting a given domain ontology to a smallerontology that serves as the KG schema. The domain ontology can be designed tobe knowledge-oriented and the KG schema covers the data specificities. Inaddition, our approach allows the option of including user preferences in theloop. We demonstrate our on-going research on ontology reshaping and present anevaluation using real industrial data, with promising results.

Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding